952 resultados para Analogical reasoning


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Business practices vary from one company to another and business practices often need to be changed due to changes of business environments. To satisfy different business practices, enterprise systems need to be customized. To keep up with ongoing business practice changes, enterprise systems need to be adapted. Because of rigidity and complexity, the customization and adaption of enterprise systems often takes excessive time with potential failures and budget shortfall. Moreover, enterprise systems often drag business behind because they cannot be rapidly adapted to support business practice changes. Extensive literature has addressed this issue by identifying success or failure factors, implementation approaches, and project management strategies. Those efforts were aimed at learning lessons from post implementation experiences to help future projects. This research looks into this issue from a different angle. It attempts to address this issue by delivering a systematic method for developing flexible enterprise systems which can be easily tailored for different business practices or rapidly adapted when business practices change. First, this research examines the role of system models in the context of enterprise system development; and the relationship of system models with software programs in the contexts of computer aided software engineering (CASE), model driven architecture (MDA) and workflow management system (WfMS). Then, by applying the analogical reasoning method, this research initiates a concept of model driven enterprise systems. The novelty of model driven enterprise systems is that it extracts system models from software programs and makes system models able to stay independent of software programs. In the paradigm of model driven enterprise systems, system models act as instructors to guide and control the behavior of software programs. Software programs function by interpreting instructions in system models. This mechanism exposes the opportunity to tailor such a system by changing system models. To make this true, system models should be represented in a language which can be easily understood by human beings and can also be effectively interpreted by computers. In this research, various semantic representations are investigated to support model driven enterprise systems. The significance of this research is 1) the transplantation of the successful structure for flexibility in modern machines and WfMS to enterprise systems; and 2) the advancement of MDA by extending the role of system models from guiding system development to controlling system behaviors. This research contributes to the area relevant to enterprise systems from three perspectives: 1) a new paradigm of enterprise systems, in which enterprise systems consist of two essential elements: system models and software programs. These two elements are loosely coupled and can exist independently; 2) semantic representations, which can effectively represent business entities, entity relationships, business logic and information processing logic in a semantic manner. Semantic representations are the key enabling techniques of model driven enterprise systems; and 3) a brand new role of system models; traditionally the role of system models is to guide developers to write system source code. This research promotes the role of system models to control the behaviors of enterprise.

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This chapter addresses data modelling as a means of promoting statistical literacy in the early grades. Consideration is first given to the importance of increasing young children’s exposure to statistical reasoning experiences and how data modelling can be a rich means of doing so. Selected components of data modelling are then reviewed, followed by a report on some findings from the third-year of a three-year longitudinal study across grades one through three.

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Hunter argues that cognitive science models of human thinking explain how analogical reasoning and precedential reasoning operate in law. He offers an explanation of why various legal theories are so limited and calls for greater attention to what is actually happening when lawyers and judges reason, by analogy, with precedent.

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Concepts are mental representations that are the constituents of thought. EdouardMachery claims that psychologists generally understand concepts to be bodies of knowledge or information carrying mental states stored in long term memory that are used in the higher cognitive competences such as in categorization judgments, induction, planning, and analogical reasoning. While most research in the concepts field generally have been on concrete concepts such as LION, APPLE, and CHAIR, this paper will examine abstract moral concepts and whether such concepts may have prototype and exemplar structure. After discussing the philosophical importance of this project and explaining the prototype and exemplar theories, criticisms will be made against philosophers, who without experimental support from the sciences of the mind, contend that moral concepts have prototype and/or exemplar structure. Next, I will scrutinize Mark Johnson's experimentally-based argument that moral concepts have prototype structure. Finally, I will show how our moral concepts may indeed have prototype and exemplar structure as well as explore the further ethical implications that may be reached by this particular moral concepts conclusion. © 2011 Springer Science+Business Media B.V.

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This study investigated two hypotheses regarding the mapping of perception to action during imitation. The first hypothesis predicted that as children’s cognitive capacities increase the tendency to map one goal and disregard others during imitation should decrease. This hypothesis was tested by comparing the performances of 168 4- to 7-year-olds in a gestural imitation task developed by Bekkering, Wohlschläger, and Gattis. The second hypothesis predicted that reducing the mapping between perception and action should reduce the demands on the cognitive resources of the child. This hypothesis was tested by creating a condition in which perception and action overlapped by sharing objects between experimenter and child. In three experimental conditions, an adult modelled four gestures, directed at either: 1) one of two sets of round stickers (proprietary objects); 2) the same location on the table, without any sticker (no objects); or 3) one set of round stickers, which were shared with the child (shared objects). The results confirmed both hypotheses. Four- and five-year-olds imitated less accurately when imitation involved mapping of both objects and movements (proprietary and shared objects) than when imitation involved mapping movements only (no objects). Seven-year-olds imitated accurately in all three conditions, demonstrating that increased cognitive capacity allowed them to map multiple goals from perception to action. Most importantly, reducing the mapping between perception and action in the shared objects condition facilitated imitation, specifically for the transitional group, 6-year-olds. We conclude that mapping between perception and action is not direct, but resembles mapping relations in analogical reasoning: cognitive processes mediate mapping from perception to action.

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In the context of decision making under uncertainty, we formalize the concept of analogy: an analogy between two decision problems is a mapping that transforms one problem into the other while preserving the problem's structure. We identify the basic structure of a decision problem, and provide a representation of the mappings that pre- serve this structure. We then consider decision makers who use multiple analogies. Our main results are a representation theorem for "aggregators" of analogies satisfying certain minimal requirements, and the identification of preferences emerging from analogical reasoning. We show that a large variety of multiple-prior preferences can be thought of as emerging from analogical reasoning.

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The goal of the work reported here is to capture the commonsense knowledge of non-expert human contributors. Achieving this goal will enable more intelligent human-computer interfaces and pave the way for computers to reason about our world. In the domain of natural language processing, it will provide the world knowledge much needed for semantic processing of natural language. To acquire knowledge from contributors not trained in knowledge engineering, I take the following four steps: (i) develop a knowledge representation (KR) model for simple assertions in natural language, (ii) introduce cumulative analogy, a class of nearest-neighbor based analogical reasoning algorithms over this representation, (iii) argue that cumulative analogy is well suited for knowledge acquisition (KA) based on a theoretical analysis of effectiveness of KA with this approach, and (iv) test the KR model and the effectiveness of the cumulative analogy algorithms empirically. To investigate effectiveness of cumulative analogy for KA empirically, Learner, an open source system for KA by cumulative analogy has been implemented, deployed, and evaluated. (The site "1001 Questions," is available at http://teach-computers.org/learner.html). Learner acquires assertion-level knowledge by constructing shallow semantic analogies between a KA topic and its nearest neighbors and posing these analogies as natural language questions to human contributors. Suppose, for example, that based on the knowledge about "newspapers" already present in the knowledge base, Learner judges "newspaper" to be similar to "book" and "magazine." Further suppose that assertions "books contain information" and "magazines contain information" are also already in the knowledge base. Then Learner will use cumulative analogy from the similar topics to ask humans whether "newspapers contain information." Because similarity between topics is computed based on what is already known about them, Learner exhibits bootstrapping behavior --- the quality of its questions improves as it gathers more knowledge. By summing evidence for and against posing any given question, Learner also exhibits noise tolerance, limiting the effect of incorrect similarities. The KA power of shallow semantic analogy from nearest neighbors is one of the main findings of this thesis. I perform an analysis of commonsense knowledge collected by another research effort that did not rely on analogical reasoning and demonstrate that indeed there is sufficient amount of correlation in the knowledge base to motivate using cumulative analogy from nearest neighbors as a KA method. Empirically, evaluating the percentages of questions answered affirmatively, negatively and judged to be nonsensical in the cumulative analogy case compares favorably with the baseline, no-similarity case that relies on random objects rather than nearest neighbors. Of the questions generated by cumulative analogy, contributors answered 45% affirmatively, 28% negatively and marked 13% as nonsensical; in the control, no-similarity case 8% of questions were answered affirmatively, 60% negatively and 26% were marked as nonsensical.

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This study analyzes the short-term consequences of visitors' use of different types of exhibits (i.e., "exemplars of phenomena" and "analogy based") together with the factors affecting visitors' understanding of and their evaluation of the use of such exhibits. One hundred and twenty five visitors (either alone or in groups) were observed during their interaction and interviewed immediately afterwards. Findings suggest that the type of exhibit constrains the nature of the understanding achieved. The use of analogical reasoning may lead to an intended causal explanation of an exhibit that is an exemplar of a phenomenon, but visitors often express misconceptions as a consequence of using this type of exhibit. Analogy-based exhibits are often not used as intended by the designer. This may be because visitors do not access the source domain intended; are unaware of the use of analogy per se (in particular, when the exhibit is of the subtype "only showing similarities between relationships"); only acquire fragmentary knowledge about the target; or fail to use analogical reasoning of which they were capable. Furthermore, exhibits related to everyday world situations are recognized to have an immediate educative value for visitors. Suggestions for enhancing the educative value of exhibits are proposed.

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En este trabajo se aborda un análisis de las aplicaciones leibnizianas de la analogía y del razonamiento analógico. De este modo, se trata de mostrar que el concepto de analogía leibniziano se funda en la idea de semejanza estructural. A partir de esta consideración, se abordan dos maneras básicas en que Leibniz aplica el razonamiento analógico. La primera es de carácter conjetural y posee un valor heurístico, mientras que la segunda constituye un tipo de razonamiento analógicodemostrativo,al menosen suintención,puesto que trata de fundamentar las conclusiones dentro de un ámbito teórico a partir de unprincipio de transferencia fundado en la identidad de propiedades estructurales.Este procedimiento se ejemplifica por medio de una presentación general de laconcepción leibniziana de las verdades contingentes. De este modo, el trabajo concluye señalando la importancia teórica del concepto de semejanza en el pensamiento leibiniziano.

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En este trabajo se aborda un análisis de las aplicaciones leibnizianas de la analogía y del razonamiento analógico. De este modo, se trata de mostrar que el concepto de analogía leibniziano se funda en la idea de semejanza estructural. A partir de esta consideración, se abordan dos maneras básicas en que Leibniz aplica el razonamiento analógico. La primera es de carácter conjetural y posee un valor heurístico, mientras que la segunda constituye un tipo de razonamiento analógicodemostrativo,al menosen suintención,puesto que trata de fundamentar las conclusiones dentro de un ámbito teórico a partir de unprincipio de transferencia fundado en la identidad de propiedades estructurales.Este procedimiento se ejemplifica por medio de una presentación general de laconcepción leibniziana de las verdades contingentes. De este modo, el trabajo concluye señalando la importancia teórica del concepto de semejanza en el pensamiento leibiniziano.

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En este trabajo se aborda un análisis de las aplicaciones leibnizianas de la analogía y del razonamiento analógico. De este modo, se trata de mostrar que el concepto de analogía leibniziano se funda en la idea de semejanza estructural. A partir de esta consideración, se abordan dos maneras básicas en que Leibniz aplica el razonamiento analógico. La primera es de carácter conjetural y posee un valor heurístico, mientras que la segunda constituye un tipo de razonamiento analógicodemostrativo,al menosen suintención,puesto que trata de fundamentar las conclusiones dentro de un ámbito teórico a partir de unprincipio de transferencia fundado en la identidad de propiedades estructurales.Este procedimiento se ejemplifica por medio de una presentación general de laconcepción leibniziana de las verdades contingentes. De este modo, el trabajo concluye señalando la importancia teórica del concepto de semejanza en el pensamiento leibiniziano.

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2012 marks the thirtieth anniversary of Malaysia’s Look East Policy (LEP). This article argues that the strong relationship between Malaysia and Japan is stimulated by symbiotic ties binding together both countries’ respective major political parties, viz. the United Malays National Organisation (UMNO) and the Liberal Democratic Party (LDP). UMNO, especially under the leadership of Prime Minister Mahathir Mohamad (1981-2003), derived political lessons from developments affecting LDP in Japan. Two forms of lessons may be discerned. First, emulation of Japan’s success in economic development, which become the basis of LEP launched in 1981. Second, on which our article focuses, lessons from the failure of LDP to retain power twice in 1993 and 2009. Since 1993, DP’s defeat has been a poignant reminder for UMNO to be in alert mode in facing any electoral possibility. When LDP was again ousted from power in 2009, UMNO was a most psychologically affected party owing to the unprecedented setback it suffered at Malaysia’s Twelfth General Elections (GE) of 2008. Yet, although LDP’s reversal of fortunes served as a landmark for UMNO in situating changes to its trajectory since 1999, the analogical reasoning and political lessons applied by UMNO leaders were, to a large extent, flawed. Arguably, politicians frequently do misjudge in analogising between different situations which at a glance seem to be comparable.

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Si hubiese un denominador común entre todas las artes en lo que ha venido llamándose postmodernidad, éste tendría mucho que ver con el final del origen de la obra. Desde la literatura y la música hasta las artes plásticas y la arquitectura, la superación de la modernidad ha estado caracterizada por la sustitución del concepto de creación por el de intervención artística, o lo que es lo mismo, la interpretación de lo que ya existe. A principios del siglo XX los conceptos modernos de creación y origen implicaban tener que desaprender y olvidar todo lo anterior con el ánimo de partir desde cero; incluso en un sentido material Mies sugería la construcción literal de la materia y su movimiento de acuerdo a unas leyes. A partir de la segunda mitad de siglo los planteamientos historicistas empezaron a surgir como reacción ante la amnesia y la supuesta originalidad de los modernos. En este contexto surgen los libros Learning from Las Vegas, 1972 y Delirious New York, 1978, ambos deudores en muchos aspectos con el anterior libro de Venturi, Complexity and Contradiction in Architecture, 1966. Estos dos libros sobre ciudades, alejándose decididamente de las tendencias historicistas de la época, proponían utilizar el análisis crítico de la realidad existente como vehículo para la teoría y el proyecto de manera simultánea, convirtiéndose indirectamente en Manifiestos. Si en un primer momento Venturi, Rossi y otros planteaban acabar con los límites formales establecidos por la modernidad, así como por cualquiera de los cánones anteriores, tomando la totalidad de la obra construida como sistema de referencia, - al igual que hiciera Eliot en literatura, - los libros de Las Vegas y Nueva York sugerían directamente borrar los límites de la propia disciplina, llegando a poner en duda ¿Qué puede ser considerado arquitectura? Sin embargo, debido precisamente a la ausencia total de límites y a la inmensidad del sistema referencial planteado, “todo puede ser arquitectura”, como apuntaba Hans Hollein en 1968, los libros proponen al mismo tiempo definir el campo de actuación de cada cual de manera individual. Los escritos sobre Las Vegas y Nueva York suponen por un lado la eliminación de los limites disciplinares y por otro, la delimitación de ámbitos de trabajo concretos para sus autores: los propios de cada una de las ciudades interpretadas. La primera parte de la Tesis, Lecciones, se ocupa del necesario proceso de aprendizaje y experimentación previo a la acción crítica propiamente dicha. Los arquitectos contemporáneos necesitan acumular material, conocimiento, documentación, experiencias... antes de lanzarse a proponer mediante la crítica y la edición; y al contrario que ocurría con los modernos, cuanto más abundante sea ese bagaje previo más rica será la interpretación. Las ciudades de Roma, Londres y Berlín se entienden por tanto como experiencias capaces de proporcionar a Venturi, Scott Brown y Koolhaas respectivamente, sus “personales diccionarios”, unas interminables imaginerías con las que posteriormente se enfrentarían a los análisis de Las Vegas y Nueva York. La segunda parte, Críticas, se centra en la producción teórica en sí: los dos libros de ciudades analizados en estrecha relación con el Complexity and Contradiction. El razonamiento analógico característico de estos libros ha servido de guía metodológica para la investigación, estableciéndose relaciones, no entre los propios escritos directamente, sino a través de trabajos pertenecientes a otras disciplinas. En primer lugar se plantea un importante paralelismo entre los métodos de análisis desarrollados en estos libros y los utilizados por la crítica literaria, observando que si el new criticism y el nuevo periodismo sirvieron de guía en los escritos de Venturi y Scott Brown, la nouvelle critique y su propuesta de identificación poética fueron el claro referente de Koolhaas al abordar Nueva York. Por otro lado, la relevancia ganada por la actividad de comisariado artístico y la aparición de la figura del curator, como autoridad capaz de utilizar la obra de arte por encima de las intenciones de su propio autor, sirve, al igual que la figura del editor, como reflejo de la acción transformadora y de apropiación llevada a cabo tanto en Learning from Las Vegas, como en Delirious New York. Por último y a lo largo de toda la investigación las figuras de Bergson y Baudelaire han servido como apoyo teórico. A través de la utilización que de sus ideas hicieron Venturi y Koolhaas respectivamente, se ha tratado de mostrar la proximidad de ambos planteamientos desde un punto de vista ideológico. La Inclusión propuesta por Venturi y la ironía utilizada por Koolhaas, la contradicción y la paradoja, no son sino el reflejo de lógicas que en ambos casos reaccionan al mismo tiempo contra idealismo y materialismo, contra modernidad y antimodernidad, en un continuo intento de ser lo uno y lo otro simultáneamente. ABSTRACT If there was a common denominator among all the arts in what has been called postmodernism, it would have much to do with the end of the origin of the artwork. From literature and music to fine arts and architecture, overcoming modernity has been characterized by replacing the concept of artistic creation by the one of intervention, in other words, the interpretation of what already exists. In the early twentieth century modern concepts of creation and origin involved unlearning and forgetting everything before with the firm intention of starting from scratch. Even in a material sense Mies suggested the literal construction of matter and its motion according to laws. From the mid-century historicist approaches began to emerge in response to the amnesia and originality alleged by moderns. In this context appeared the books Learning from Las Vegas, 1972 and Delirious New York, 1978, both debtors in many respects to the previous book by Venturi, Complexity and Contradiction in Architecture, 1966. These two books on cities, which broke away decidedly with the historicist trends of the time, proposed using critical analysis of the existing reality as a vehicle for theory and projecting at the same time, indirectly becoming manifests. If at first Venturi, Rossi and others pose to erase the formal limits set by modernity, as well as any of the canons before, taking the entire work built as a reference system, - as did Eliot in literature - the books on Las Vegas and New York proposed directly erasing the boundaries of the discipline itself, coming to question what could be considered architecture? However, and precisely because of the absence of limits and the immensity of the established framework, - “everything could be architecture” as Hans Hollein pointed in 1968, - the books suggested at the same time the definition of a field of action for each one individually. The cities of Las Vegas and New York represented on the one hand the elimination of disciplinary limits and on the other, the delimitation of specific areas of work to its authors: Those on each of the cities interpreted. The first part of the thesis, Lessons, attend to the necessary process of learning and experimentation before the critical action itself. Contemporary architects need to accumulate material, knowledge, information, experiences... before proposing through criticism and editing; and unlike happened with moderns, the most abundant this prior baggage is, the richest will be the interpretation. Rome, London and Berlin are therefore understood as experiences capable of providing Venturi, Scott Brown and Koolhaas respectively, their “personal dictionaries”, interminable imageries with which they would later face the analysis of Las Vegas and New York. The second part, Critiques, focuses on the theoretical production itself: the two books on both cities analyzed closely with the Complexity and Contradiction. The analogical reasoning characteristic of these books has served as a methodological guide for the research, establishing relationships, not directly between the writings themselves, but through works belonging to other disciplines. First, an important parallel is set between the methods of analysis developed in these books and those used by literary criticism, noting that if the new criticism and new journalism guided Venturi and Scott Brown´s writings, the nouvelle critique and its poetic identification were clear references for Koolhaas when addressing New York. On the other hand, the relevance gained by curating and the understanding of the figure of the curator as an authority capable to use artworks above the intentions of their authors, like the one of the Editor, reflects the appropriation and processing actions carried out both in Learning from Las Vegas, and Delirious New York. Finally and over all the research Bergson and Baudelaire figures resonate continuously. Through the use of their ideas done by Venturi and Koolhaas respectively, the research has tried to show the proximity of both approaches from an ideological point of view. Inclusion, as posed by Venturi and irony, as used by Koolhaas, contradiction and paradox are reflections of the logic that in both cases allow them to react simultaneously against idealism and materialism, against modernism and anti-modernism.

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Proof reuse, or analogical reasoning, involves reusing the proof of a source theorem in the proof of a target conjecture. We have developed a method for proof reuse that is based on the generalisation replay paradigm described in the literature, in which a generalisation of the source proof is replayed to construct the target proof. In this paper, we describe the novel aspects of our method, which include a technique for producing more accurate source proof generalisations (using knowledge of the target goal), as well as a flexible replay strategy that allows the user to set various parameters to control the size and the shape of the search space. Finally, we report on the results of applying this method to a case study from the realm of software verification.

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In recent years, there has been an increas-ing interest in learning a distributed rep-resentation of word sense. Traditional context clustering based models usually require careful tuning of model parame-ters, and typically perform worse on infre-quent word senses. This paper presents a novel approach which addresses these lim-itations by first initializing the word sense embeddings through learning sentence-level embeddings from WordNet glosses using a convolutional neural networks. The initialized word sense embeddings are used by a context clustering based model to generate the distributed representations of word senses. Our learned represen-tations outperform the publicly available embeddings on 2 out of 4 metrics in the word similarity task, and 6 out of 13 sub tasks in the analogical reasoning task.